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Optimal Location and Sizing of UPQC in Distribution Networks Using Differential Evolution Algorithm

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  • Seyed Abbas Taher
  • Seyed Ahmadreza Afsari

Abstract

Differential evolution (DE) algorithm is used to determine optimal location of unified power quality conditioner (UPQC) considering its size in the radial distribution systems. The problem is formulated to find the optimum location of UPQC based on an objective function (OF) defined for improving of voltage and current profiles, reducing power loss and minimizing the investment costs considering the OF's weighting factors. Hence, a steady-state model of UPQC is derived to set in forward/backward sweep load flow. Studies are performed on two IEEE 33-bus and 69-bus standard distribution networks. Accuracy was evaluated by reapplying the procedures using both genetic (GA) and immune algorithms (IA). Comparative results indicate that DE is capable of offering a nearer global optimal in minimizing the OF and reaching all the desired conditions than GA and IA.

Suggested Citation

  • Seyed Abbas Taher & Seyed Ahmadreza Afsari, 2012. "Optimal Location and Sizing of UPQC in Distribution Networks Using Differential Evolution Algorithm," Mathematical Problems in Engineering, Hindawi, vol. 2012, pages 1-20, August.
    • Handle: RePEc:hin:jnlmpe:838629
    DOI: 10.1155/2012/838629
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    Cited by:

    1. Sami M. Alshareef, 2022. "Analyzing and Mitigating the Impacts of Integrating Fast-Charging Stations on the Power Quality in Electric Power Distribution Systems," Sustainability, MDPI, vol. 14(9), pages 1-23, May.
    2. Sami M. Alshareef, 2022. "A Novel Fairness-Based Cost Model for Adopting Smart Charging at Fast Charging Stations," Sustainability, MDPI, vol. 14(11), pages 1-28, May.
    3. Reza Sabzehgar & Diba Zia Amirhosseini & Saeed D. Manshadi & Poria Fajri, 2021. "Stochastic Expansion Planning of Various Energy Storage Technologies in Active Power Distribution Networks," Sustainability, MDPI, vol. 13(10), pages 1-17, May.

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